Kallimath, Sushma P and Darapaneni, Narayana and Paduri, Anwesh Reddy (2025) Deep Learning Approaches for Stock Price Prediction A Comparative Study on Nifty 50 Dataset. EAI Endorsed Transactions on Intelligent Systems and Machine Learning.
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Abstract
Stock price prediction is essential for investors and traders in financial markets. Deep learning methods have emerged as promising tools for capturing intricate patterns in stock market data. In this paper, we explore a comprehensive comparative study of various deep learning architectures for stoc
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 18:31 |
| Last Modified: | 10 Apr 2026 22:59 |
| URI: | http://eprints.eai.eu/id/eprint/52820 |
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